Data Engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across all data pipelines.
• Optimize and tune data processes for performance and cost-efficiency.
• Implement and manage data storage solutions on Google Cloud Platform.
• Monitor and troubleshoot data pipeline issues and implement solutions.
• Stay up-to-date with industry trends and best practices in data engineering.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and Python.
• Knowledge of Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Cloud Storage, Cloud Composer).
• Experience with ETL tools and data integration techniques.
• Familiarity with data warehousing concepts and technologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Experience with other cloud platforms (e.g., AWS, Azure).
• Knowledge of data modeling and database design.
• Experience with big data technologies (e.g., Hadoop, Spark)